---
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- f1
model-index:
- name: camembert-base-emotion-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# camembert-base-emotion-10

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2032
- Accuracy: 0.935
- Recall: 0.935
- F1: 0.9349

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
| 0.401         | 1.0   | 160  | 0.2132          | 0.94     | 0.94   | 0.9400 |
| 0.1568        | 2.0   | 320  | 0.2032          | 0.935    | 0.935  | 0.9349 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1